TGA-FTIR for kinetic and evolved gas analysis of the coal particles in dust deflagration

Publikation: Beitrag in FachzeitschriftArtikelForschungBegutachtung


The common approach in the dust deflagration simulations ignores the temperature gradient inside of the particles. Therefore, the reaction rate of the particle at one temperature remains constant. In order to explore the mass loss and evolve gas characters during the coal particle decomposition procedures, a single-particle model was created using OpenFOAM tool kit. In this study, the pyrolysis characteristics and gas properties of the coal sample were determined by TGA-FTIR. The evolution of gases in real-time was investigated and implemented as kinetic models in the dust deflagration. To solve the heat and mass transfer of the single-particle, a two-phase solver based on the Eulerian method was developed based on reactingFoam. The porosity of the coal particle was included with respect to the coal mass. The result of the heat and mass transfer of the single-particle model agrees well with the experiment. In order to simulate the particle behavior in the dust explosion, new boundary conditions extracted from dust explosion simulations will be implemented. The final goal of the single-particle model is to implement the new particle decomposition behavior into the full scale of dust explosion simulations.
FachzeitschriftApplied thermal engineering
Frühes Online-Datum7 Juni 2023
PublikationsstatusVeröffentlicht - Aug. 2023

Bibliographische Notiz

Funding Information:
PY acknowledges the financial support of the China Scholarship Council (CSC, No. 201808420277 ). The authors are grateful for the computing time granted by the Chair of Thermal Processing Technology (TPT), Montanuniversitaet Leoben. Dr. Anton Hohenwarter at the Chair of Materials Physics and Dr. Jan Eisbacher-Lubensky at the Chair of Process Technology and Environmental Protection are acknowledged for their help in sample test. Zlatko Raonic and Senthilathiban Swaminathan at TPT are gratefully acknowledged for the help in modeling and valuable discussion.

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© 2023 The Author(s)

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